3DHumans: Dataset for Human Body Models,
2023
Dataset, Human Shapes.
WWW Link.
he 3DHumans dataset provides around 180 meshes of people in diverse
body shapes in various garments styles and sizes.
See also Indian Institute of Technology, Hyderabad.
Sun, W.Z.[Wen-Zhang],
Wang, L.[Lu],
Ma, S.P.[Shao-Peng],
Ma, Q.[Qinwen],
Estimating 3D body mesh without SMPL annotations via alternating
successive convex approximation,
CVIU(224), 2022, pp. 103539.
Elsevier DOI
2211
3D human shape and pose estimation,
Alternating successive convex approximation,
Joint-shape relationship
BibRef
Wang, L.[Lei],
Liu, X.[Xunyu],
Ma, X.L.[Xiao-Liang],
Wu, J.J.[Jia-Ji],
Cheng, J.[Jun],
Zhou, M.[Mengchu],
A Progressive Quadric Graph Convolutional Network for 3D Human Mesh
Recovery,
CirSysVideo(33), No. 1, January 2023, pp. 104-117.
IEEE DOI
2301
Topology, Solid modeling, Head, Decoding, Computational modeling,
Biological system modeling, 3D human mesh, VR
BibRef
Guan, S.[Shanyan],
Xu, J.W.[Jing-Wei],
He, M.Z.[Michelle Zhang],
Wang, Y.[Yunbo],
Ni, B.B.[Bing-Bing],
Yang, X.K.[Xiao-Kang],
Out-of-Domain Human Mesh Reconstruction via Dynamic Bilevel Online
Adaptation,
PAMI(45), No. 4, April 2023, pp. 5070-5086.
IEEE DOI
2303
BibRef
Earlier: A1, A2, A4, A5, A6, Only:
Bilevel Online Adaptation for Out-of-Domain Human Mesh Reconstruction,
CVPR21(10467-10476)
IEEE DOI
2111
Training, Adaptation models, Videos, Optimization, Solid modeling,
Data models, 3D exemplar guidance, bilevel online adaptation,
out-of-domain human mesh reconstruction.
Benchmark testing, Reconstruction algorithms, Cameras
BibRef
Cho, H.[Hanbyel],
Ahn, J.[Jaesung],
Cho, Y.[Yooshin],
Kim, J.[Junmo],
Video Inference for Human Mesh Recovery with Vision Transformer,
FG23(1-6)
IEEE DOI
2303
Shape, Face recognition, Computational modeling,
Customer relationship management, Kinematics, Transformers
BibRef
Jena, S.[Shubhendu],
Multon, F.[Franck],
Boukhayma, A.[Adnane],
Monocular Human Shape and Pose with Dense Mesh-borne Local Image
Features,
FG21(1-5)
IEEE DOI
2303
Training, Shape, Convolution, Pose estimation, Pipelines, Transforms
BibRef
Chun, S.[Sungho],
Park, S.B.[Sung-Bum],
Chang, J.Y.[Ju Yong],
Learnable Human Mesh Triangulation for 3D Human Pose and Shape
Estimation,
WACV23(2849-2858)
IEEE DOI
2302
Surface reconstruction, Image resolution, Shape, Fitting, Estimation,
Graphics processing units, Algorithms: Biometrics, face, gesture,
3D computer vision
BibRef
Gong, X.[Xuan],
Zheng, M.[Meng],
Planche, B.[Benjamin],
Karanam, S.[Srikrishna],
Chen, T.[Terrence],
Doermann, D.[David],
Wu, Z.Y.[Zi-Yan],
Self-supervised Human Mesh Recovery with Cross-Representation Alignment,
ECCV22(I:212-230).
Springer DOI
2211
BibRef
Cho, J.[Junhyeong],
Youwang, K.[Kim],
Oh, T.H.[Tae-Hyun],
Cross-Attention of Disentangled Modalities for 3D Human Mesh Recovery
with Transformers,
ECCV22(I:342-359).
Springer DOI
2211
BibRef
Khirodkar, R.[Rawal],
Tripathi, S.[Shashank],
Kitani, K.[Kris],
Occluded Human Mesh Recovery,
CVPR22(1705-1715)
IEEE DOI
2210
Heating systems, Adaptation models, Computer architecture,
Predictive models, Pattern recognition, 3D from single images,
Vision applications and systems
BibRef
Moon, G.[Gyeongsik],
Choi, H.[Hongsuk],
Lee, K.M.[Kyoung Mu],
NeuralAnnot: Neural Annotator for 3D Human Mesh Training Sets,
ABAW22(2298-2306)
IEEE DOI
2210
Training, Solid modeling, Annotations, Neural networks, Fitting
BibRef
Moon, G.[Gyeongsik],
Choi, H.[Hongsuk],
Lee, K.M.[Kyoung Mu],
Accurate 3D Hand Pose Estimation for Whole-Body 3D Human Mesh
Estimation,
ABAW22(2307-2316)
IEEE DOI
2210
Wrist, Codes, Face recognition, Pose estimation
BibRef
Choi, H.[Hongsuk],
Moon, G.[Gyeongsik],
Park, J.K.[Joon-Kyu],
Lee, K.M.[Kyoung Mu],
Learning to Estimate Robust 3D Human Mesh from In-the-Wild Crowded
Scenes,
CVPR22(1465-1474)
IEEE DOI
2210
Training, Codes, Face recognition, Pose estimation, Training data,
3D from single images, Face and gestures
BibRef
Georgakis, G.[Georgios],
Li, R.[Ren],
Karanam, S.[Srikrishna],
Chen, T.[Terrence],
Koecká, J.[Jana],
Wu, Z.Y.[Zi-Yan],
Hierarchical Kinematic Human Mesh Recovery,
ECCV20(XVII:768-784).
Springer DOI
2011
BibRef
Pavlakos, G.[Georgios],
Malik, J.[Jitendra],
Kanazawa, A.[Angjoo],
Human Mesh Recovery from Multiple Shots,
CVPR22(1475-1485)
IEEE DOI
2210
Media, Motion pictures, Transformers, Cognition, Data models,
Task analysis, 3D from single images, Face and gestures
BibRef
Lee, G.H.[Gun-Hee],
Lee, S.W.[Seong-Whan],
Uncertainty-Aware Human Mesh Recovery from Video by Learning
Part-Based 3D Dynamics,
ICCV21(12355-12364)
IEEE DOI
2203
Uncertainty, Dynamics, Estimation, Reconstruction algorithms,
Robustness, Encoding, 3D from a single image and shape-from-x,
Gestures and body pose
BibRef
Kolotouros, N.[Nikos],
Pavlakos, G.[Georgios],
Jayaraman, D.[Dinesh],
Daniilidis, K.[Kostas],
Probabilistic Modeling for Human Mesh Recovery,
ICCV21(11585-11594)
IEEE DOI
2203
Uncertainty, Computational modeling, Fitting, Estimation,
Predictive models, Gestures and body pose,
3D from a single image and shape-from-x
BibRef
Yu, Z.B.[Zhen-Bo],
Wang, J.J.[Jun-Jie],
Xu, J.W.[Jing-Wei],
Ni, B.B.[Bing-Bing],
Zhao, C.L.[Cheng-Long],
Wang, M.[Minsi],
Zhang, W.J.[Wen-Jun],
Skeleton2Mesh: Kinematics Prior Injected Unsupervised Human Mesh
Recovery,
ICCV21(8599-8609)
IEEE DOI
2203
Shape, Robot kinematics, Pose estimation, Focusing, Kinematics,
Skeleton, Transfer/Low-shot/Semi/Unsupervised Learning,
Gestures and body pose
BibRef
Li, R.[Runze],
Karanam, S.[Srikrishna],
Li, R.[Ren],
Chen, T.[Terrence],
Bhanu, B.[Bir],
Wu, Z.Y.[Zi-Yan],
Learning Local Recurrent Models for Human Mesh Recovery,
3DV21(555-564)
IEEE DOI
2201
Measurement, Legged locomotion, Solid modeling, Dynamics, Estimation,
Kinematics, human mesh recovery
BibRef
Huang, B.Z.[Bu-Zhen],
Shu, Y.[Yuan],
Zhang, T.S.[Tian-Shu],
Wang, Y.G.[Yan-Gang],
Dynamic Multi-Person Mesh Recovery From Uncalibrated Multi-View
Cameras,
3DV21(710-720)
IEEE DOI
2201
Geometry, Semantics, Dynamics, Cameras, Calibration, Noise measurement,
Human mesh recovery, Extrinsic camera calibration, Motion prior
BibRef
Lin, K.[Kevin],
Wang, L.J.[Li-Juan],
Jin, Y.[Ying],
Liu, Z.C.[Zi-Cheng],
Sun, M.T.[Ming-Ting],
Learning Nonparametric Human Mesh Reconstruction from A Single Image
Without Ground Truth Meshes,
ICIP21(964-968)
IEEE DOI
2201
Training, Heating systems, Image segmentation, Laplace equations,
Pose estimation, Human mesh reconstruction, graph laplacian
BibRef
Zhang, H.W.[Hong-Wen],
Tian, Y.T.[Ya-Ting],
Zhou, X.C.[Xin-Chi],
Ouyang, W.L.[Wan-Li],
Liu, Y.B.[Ye-Bin],
Wang, L.M.[Li-Min],
Sun, Z.A.[Zhen-An],
PyMAF: 3D Human Pose and Shape Regression with Pyramidal Mesh
Alignment Feedback Loop,
ICCV21(11426-11436)
IEEE DOI
2203
Feedback loop, Shape, Computer network reliability,
Neural networks, Feature extraction, Gestures and body pose,
3D from a single image and shape-from-x
BibRef
Yuan, Y.[Ye],
Iqbal, U.[Umar],
Molchanov, P.[Pavlo],
Kitani, K.[Kris],
Kautz, J.[Jan],
GLAMR: Global Occlusion-Aware Human Mesh Recovery with Dynamic
Cameras,
CVPR22(11028-11039)
IEEE DOI
2210
Tracking, Dynamics, Pose estimation, Cameras, Trajectory,
Pose estimation and tracking, Motion and tracking
BibRef
Iqbal, U.[Umar],
Xie, K.[Kevin],
Guo, Y.[Yunrong],
Kautz, J.[Jan],
Molchanov, P.[Pavlo],
KAMA: 3D Keypoint Aware Body Mesh Articulation,
3DV21(689-699)
IEEE DOI
2201
Solid modeling, Analytical models, Shape, Annotations,
Biological system modeling, Fitting,
motion capture
BibRef
Zhang, J.F.[Jian-Feng],
Yu, D.D.[Dong-Dong],
Liew, J.H.[Jun Hao],
Nie, X.C.[Xue-Cheng],
Feng, J.S.[Jia-Shi],
Body Meshes as Points,
CVPR21(546-556)
IEEE DOI
2111
Location awareness, Visualization,
Pipelines, Pose estimation, Benchmark testing, Robustness
BibRef
Zhou, B.[Boyao],
Franco, J.S.[Jean-Sébastien],
Bogo, F.[Federica],
Tekin, B.[Bugra],
Boyer, E.[Edmond],
Reconstructing Human Body Mesh from Point Clouds by Adversarial Gp
Network,
ACCV20(I:123-139).
Springer DOI
2103
BibRef
Moon, G.[Gyeongsik],
Lee, K.M.[Kyoung Mu],
I2l-meshnet: Image-to-lixel Prediction Network for Accurate 3d Human
Pose and Mesh Estimation from a Single RGB Image,
ECCV20(VII:752-768).
Springer DOI
2011
BibRef
Choi, H.[Hongsuk],
Moon, G.[Gyeongsik],
Lee, K.M.[Kyoung Mu],
Pose2mesh: Graph Convolutional Network for 3d Human Pose and Mesh
Recovery from a 2d Human Pose,
ECCV20(VII:769-787).
Springer DOI
2011
BibRef
Kundu, J.N.[Jogendra Nath],
Rakesh, M.[Mugalodi],
Jampani, V.[Varun],
Venkatesh, R.M.[Rahul Mysore],
Babu, R.V.[R. Venkatesh],
Appearance Consensus Driven Self-supervised Human Mesh Recovery,
ECCV20(I:794-812).
Springer DOI
2011
BibRef
Zeng, W.,
Ouyang, W.,
Luo, P.,
Liu, W.,
Wang, X.,
3D Human Mesh Regression With Dense Correspondence,
CVPR20(7052-7061)
IEEE DOI
2008
Image reconstruction, Solid modeling,
Biological system modeling, Estimation, Feature extraction,
Surface reconstruction
BibRef
Zhao, M.,
Liu, Y.,
Raghu, A.,
Zhao, H.,
Li, T.,
Torralba, A.,
Katabi, D.,
Through-Wall Human Mesh Recovery Using Radio Signals,
ICCV19(10112-10121)
IEEE DOI
2004
avatars, learning (artificial intelligence), mesh generation,
neural nets, wireless LAN, baggy clothes, bad lighting conditions,
Cameras
BibRef
Zhao, M.,
Li, T.,
Alsheikh, M.A.,
Tian, Y.,
Zhao, H.,
Torralba, A.,
Katabi, D.,
Through-Wall Human Pose Estimation Using Radio Signals,
CVPR18(7356-7365)
IEEE DOI
1812
RF signals, Wireless communication, Wireless sensor networks,
Radio frequency, Visualization, Pose estimation, Heating systems
BibRef
Zhu, H.[Hao],
Zuo, X.[Xinxin],
Wang, S.[Sen],
Cao, X.[Xun],
Yang, R.G.[Rui-Gang],
Detailed Human Shape Estimation From a Single Image by Hierarchical
Mesh Deformation,
CVPR19(4486-4495).
IEEE DOI
2002
BibRef
Pavlakos, G.[Georgios],
Kolotouros, N.[Nikos],
Daniilidis, K.[Kostas],
TexturePose: Supervising Human Mesh Estimation With Texture
Consistency,
ICCV19(803-812)
IEEE DOI
2004
Code, Mesh.
WWW Link.
BibRef
Earlier: A2, A1, A3:
Convolutional Mesh Regression for Single-Image Human Shape
Reconstruction,
CVPR19(4496-4505).
IEEE DOI
2002
cameras, image sequences, image texture, pose estimation,
video signal processing, natural images, network architecture,
Parametric statistics
BibRef
Sun, Y.[Yu],
Ye, Y.[Yun],
Liu, W.[Wu],
Gao, W.P.[Wen-Peng],
Fu, Y.L.[Yi-Li],
Mei, T.[Tao],
Human Mesh Recovery From Monocular Images via a Skeleton-Disentangled
Representation,
ICCV19(5348-5357)
IEEE DOI
2004
cameras, image motion analysis, image sensors, image sequences,
learning (artificial intelligence), pose estimation,
Couplings
BibRef
Chapter on Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics continues in
Human Body Shape .